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An active learning approach for radial basis function neural networks

This paper presents a new Active Learning algorithm to train Radial Basis Function (RBF) Artificial Neural Networks (ANN) for model reduction problems. The new approach is based on the assumption that the unobserved training data y at input x, lies within a set F x y f x y f x ( ) : ( ) ( ) = ! ! &q...

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Bibliographic Details
Main Authors:	Abdullah, S. S., Allwright, J. C.
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2006
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/4112/1/JTD_2005_29.pdf http://eprints.utm.my/id/eprint/4112/ http://www.penerbit.utm.my/onlinejournal/45/D/JTDis45D05.pdf
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